Posted by admin on Nov 30, 2021 in |
Nanotechnology has gained a lot of importance and application in agriculture in the last decade. The present work was focused on the synthesis and characterization of magnesium oxide nanoparticles and on studying the effect of these nanoparticles on wheat (PBW-677 variety). Magnesium oxide nanoparticles were synthesized by chemical synthesis method and were characterised by using UV- Visible spectrophotometer. The seeds were treated with different concentrations (200 ppm, 500 ppm, and 1000 ppm) of nanoparticles. A Control group was also run along with in which the seeds were treated with tap water. The aim of the study was to see the effect of these nanoparticles on various parameters that include seed germination, estimation of chlorophyll content, and antioxidants. The present study showed that magnesium oxide nanoparticles increase seed germination, growth, phenolics, flavonoids, total antioxidants, chlorophyll and carotene and protein content of PBW-677...
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Posted by admin on Nov 30, 2021 in |
Isolation, identification, culturing, and chemical screening of a marine-associated bacterial strain, S6.2, were performed in this study. Anti-MRSA analysis of its extract was also conducted. Strain S6.2 was isolated from an unidentified red marine sponge and identified as Zooshikella kangwensis by 16S rDNA sequencing and biochemical characterization. On marine agar, the colonies embedded in the media and were pinkish and circular with oily smooth skin. Maximum growth was observed at 78 h (200 cfu/ml) and minimum growth at 168 h (23 cfu/ml).The purified bacteria were cultured in marine broth; cell density started to increase after 3 h and proceeded to the lag, exponential, stationary and dead phases at 24, 30, 78, and 132 h, respectively. Based on LCMS/MS analysis, strain S6.2 produced pinkish pigments: prodigiosin and two prodigiosin derivatives, namely 2-methyl-hexyl-prodiginine and 2-methyl-3-propyl-prodiginine. Anti-MRSA activity deduced by thin-layer chromatography (TLC) direct bioautography revealed that the active constituents contained in an ethyl acetate extract were nonpolar compounds. The MIC values varied between 12.5 and 25.0 µg/ml, while the MBC value...
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Posted by admin on Nov 30, 2021 in |
In the present study, a modified glassy carbon electrode by a conductive film containing, i.e., functionalized multi-walled carbon nanotubes (f-MWCNTs) was selected for the determination of atracurium besilate (in short ACB), an anesthetic drug by applying the cyclic voltammetry (CV) and differential pulse anodic adsorptive stripping voltammetry (DP-AASV) techniques. Herein, nanomaterials suspension is prepared and further examined by field emission scanning electron microscopy (FESEM) analytical technique. All the effective electrochemical parameters for the detection of ACB drugs were optimized, and the oxidation peak current (Ip) of the drug was used for monitoring. The obtained results confirmed that the oxidation peak current (Ip) increased linearly by increasing in the concentration range from 1.25×10-7 M to 7.75×10-4 M of ACB. The limit of quantification (LOQ) and limit of detection (LOD) are 52.6 ng/mL and 1.43 ng/mL achieved, respectively. The sensor (nanomaterials modified glassy carbon electrode) revealed extreme sensitivity/sensing towards atracurium besilate (ACB) pharmaceuticals in bulk...
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Posted by admin on Nov 30, 2021 in |
Artificial Intelligence is the simulation of human intelligence. From delivering simple groceries to doorsteps to solving the toughest task in scientists’ lab, it is surrounding human life in all the means. So how can the Pharma industry be untouched in the case of AI?! Artificial Neural Network (ANN) is a type of AI used to solve non-linear problems and predict the output for given input parameters from the training values. In this research work, such generalized ANN is developed to predict drug release from the sustained-release monolithic tablet. It is trained by the backpropagation method under supervised learning. This developed model is evaluated on the basis of RMSE, similarity and dissimilarity factors and can predict the output with the best achieved average error ~0.0095 and R2 0.9953. Such ANNs can be the best combination of experience and intelligence, which can eliminate tedious lab works that can be cost-effective and...
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Posted by admin on Nov 30, 2021 in |
The current research paper was focused on exploiting Plackett-Burman design to screen the effect of eight factors Pregelatinised Starch (A), Crospovidone (B), Microcrystalline Cellulose PH 101 (C), Talc (D), Magnesium Stearate (E), Hydroxy Propyl Methyl Cellulose (F), Hydroxy Propyl Cellulose (G) and Lactose Monohydrate (H) on the release of drugs from the Immediate release DEM Cocrystal tablets prepared by direct compression method. The studies were carried out according to a statistical eight-factor 12 model using STATGRAPHICS XVI software and were subjected to a dissolution analysis at 0.1 N HCl pH 1.2 for determination of drug release. The ANOVA and the residual analysis showed the importance of the model. Pareto charts were generated using Design Expert® for visual identification of the effect of excipients on drug release. The drug release percentage was significantly affected by Crospovidone, Hydroxy propylmethyl cellulose, and microcrystalline cellulose. Plackett Burman could guide the process of reducing the number of experiments to a manageable level...
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